100 citations · 178 across the 4 of their papers we have counts for
4 papers
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions
Saba Moeinizade, Hieu Pham, Ye Han +2
For a global breeding organization, identifying the next generation of superior crops is vital for its success. Recognizing new genetic varieties requires years of in-field testing…
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks
Saeed Khaki, Hieu Pham, Ye Han +2
The future landscape of modern farming and plant breeding is rapidly changing due to the complex needs of our society. The explosion of collectable data has started a revolution in…
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
Saeed Khaki, Hieu Pham, Ye Han +3
The success of modern farming and plant breeding relies on accurate and efficient collection of data. For a commercial organization that manages large amounts of crops, collecting…
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting
Saeed Khaki, Hieu Pham, Ye Han +3
Precise in-season corn grain yield estimates enable farmers to make real-time accurate harvest and grain marketing decisions minimizing possible losses of profitability. A well dev…